At a Glance
- Tasks: Lead data governance initiatives and ensure data is trusted and secure.
- Company: Join Whitbread, a leading hospitality business with a focus on data innovation.
- Benefits: Competitive salary, bonus, hybrid working, and excellent career development opportunities.
- Other info: Be part of a dynamic team driving large-scale data transformation.
- Why this job: Shape the future of data governance and drive impactful analytics across the organisation.
- Qualifications: Strong knowledge of data governance principles and experience in data quality management.
The predicted salary is between 60750 - 74250 £ per year.
Job Title
Data Governance Lead
Contract Type
Permanent
Location
- Hybrid Working | UK
- + Bonus and Benfits
Are you passionate about data governance and ensuring data is trusted, secure and used effectively to drive business value?
As Data Governance Lead, you'll establish and embed practical governance frameworks, standards and controls that ensure data is trusted, compliant and well managed throughout its lifecycle.
You'll work across Data & Analytics, Technology and business functions to drive accountability, improve data quality and enable trusted analytics.
What you'll be doing
- Define, maintain and evolve Whitbread's data governance framework, standards and operating model.
- Establish governance requirements for new data pipelines, platform changes and data products.
- Own governance processes including approval criteria, checklists and exception management.
- Drive data ownership, stewardship and accountability across business and technical teams.
- Lead the adoption of data catalogue, metadata, classification and lineage standards.
- Oversee data quality frameworks including monitoring, controls, thresholds and remediation processes.
- Partner with engineering, analytics, security, privacy and business stakeholders to embed governance into day-to-day delivery.
- Coordinate governance forums, providing guidance, decision-making and escalation where required.
- Ensure appropriate controls are in place for data access, security, privacy, retention and regulatory compliance.
- Create governance reporting, KPIs and maturity measures to drive continuous improvement.
- Deliver education, coaching and communication activities that support governance adoption across the organisation.
- Provide governance assurance through reporting, risk management and evidence-based recommendations.
Why you'll love it here
- Play a pivotal role in shaping Whitbread's data governance strategy and future data capabilities.
- Help enable trusted analytics, self-service reporting and AI innovation.
- Influence decision-making at both operational and senior leadership levels.
- Be part of a team driving large-scale data transformation across the business.
- Access excellent career development opportunities within one of the UK's leading hospitality businesses.
What you'll need
- Strong knowledge of data governance principles, stewardship models and governance operating frameworks.
- Experience with data quality, metadata management, cataloguing, lineage and data lifecycle management.
- Understanding of data security, access controls, GDPR, retention requirements and audit processes.
- Knowledge of modern cloud data platforms, data products and lakehouse architectures.
- Ability to translate governance strategy into practical, scalable processes and controls.
- Strong stakeholder management skills with the ability to influence and drive accountability across multiple functions.
- Strong analytical skills with experience defining KPIs, governance reporting and remediation activities.
- Excellent communication skills with the ability to coach, educate and constructively challenge stakeholders.
- Proven experience leading or contributing significantly to data governance initiatives within a complex organisation.
- Experience working closely with data engineering, analytics and business teams.
It would be great if you also have
- Knowledge of Databricks Unity Catalog and medallion architecture.
- Understanding of Data Mesh, Fin Ops and AI governance principles.
- Experience using governance and data catalogue tools such as Microsoft Purview, Collibra, Alation or Unity Catalog.
- Experience in process automation, dashboarding and agile delivery environments.
- Experience supporting cloud platform or data product transformation programmes.
- Relevant certifications such as DAMA CDMP, DCAM, Microsoft or Databricks certifications.
- Knowledge of the hospitality sector and broader data landscape.
Bring your expertise in data governance, passion for improving data quality and ability to influence across the business to help Whitbread build a trusted, data-driven future.
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Product - Data Governance Lead in Dunstable employer: Whitbread PLC
Whitbread PLC, as part of the UK's leading hospitality group, offers a supportive and dynamic work environment at Premier Inn Slough. Employees benefit from flexible hours, competitive pay, and opportunities for personal growth within a culture that prioritises guest satisfaction and teamwork. Join us to be part of a dedicated team that values your contributions and fosters a sense of belonging.
StudySmarter Expert Advice🤫
We think this is how you could land Product - Data Governance Lead in Dunstable
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We think you need these skills to ace Product - Data Governance Lead in Dunstable
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
